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cs.CL2026
Hidden Decoding at Scale: Latent Computation Scaling for Large Language Models
Aiwei Liu, Cheng Shi, Chuhan Wu +44
Scaling Large Language Models (LLMs) has been driven mainly by enlarging the Transformer backbone, but for an already-strong model this requires another round of costly pretraining…
cs.CL2021★ 10 cited
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
Houjin Yu, Xian-Ling Mao, Zewen Chi +2
Recently, it has attracted much attention to build reliable named entity recognition (NER) systems using limited annotated data. Nearly all existing works heavily rely on domain-sp…